Bookend Safe AI Platform empowers developers to secure enterprise applications from Generative AI related safety threats such as sensitive data leakage, prompt injection attacks, jailbreaks, bias or toxicity and much more. Add Generative AI powered capabilities to your applications with confidence.
commercial or custom
Simplify integration of secure Generative AI into your applications with enterprise grade protection.
AI Threat Intelligence
Bookend AI's threat intelligence grows stronger everyday with our proprietary AI research and red teaming efforts. We are monitoring and learning from the new stream of Generative AI threat surfaces so you don’t have to.
AI Safety in a Box
Take control with confidence. With AI Safety in a Box, you don’t need to manage a multitude of sequences and switches. Bookend guides you without overwhelming you, with the right blend of automated safety features and configurable settings to safeguard your applications from LLM threats.
AI Dev Toolkit
Add Generative AI security intelligence to the heart of your applications with ease. Bookend AI’s capabilities are available through simple APIs so you can use the development tools and workflows you are already used to.
AI Operational Flexibility
Use any commercial, open source, or custom model and run on any LLM Ops platform of your choice. Bookend AI can quickly give you the safety wrapper against Generative AI related threats so you can focus on building the next generation of products and features for your business.
Safe AI simplifies enterprise transformation
Supercharge search with Generative in 4 steps
Add the power of plain language to boost customer engagement and grow conversions.
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Using a Large Language Model to generate synthetic patient data
Protect privacy and intellectual property by generating synthetic patient data for research and development
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Explore data using natural language on structured data
Large Language Models and Generative AI can make interacting with structured data stored in databases easy for non technical users who do not know SQL
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We are product and engineering veterans who have conceived, launched and scaled multiple $1B+ products at the world’s biggest cloud companies
Resources for IT and business leaders for the safe use of Generative AI in the enterprise
A five step framework for evaluating and comparing models for the safe adoption of Generative AI
Generative AI models suitable for enterprise use need to meet demanding security, compliance and cloud deployment flexibility requirements. A 5 step framework for Safe AI can help in making those choices more simple.
READ MORETrust and Safety: The biggest barrier to enterprise adoption of Generative AI
80% of executives worry about safety, privacy, and data leakage from Generative AI. Once they have an easy solution to understand and manage risk, that’s when we’ll see enterprise Generative AI transformation take flight.
READ MOREFrom Promise to Practice; Why a Lack of Standards Prevent Enterprise Adoption of Generative AI
In order for AI to go from promise to practice, mainstream businesses will need to be able to consistently and clearly understand the risk, reward, impact and effort required to adopt a pre-trained model for enterprise use cases.
READ MOREGenerative AI security considerations for today's enterprise
Today's enterprises lack the tools or preparation to address the cyber, political or competitive risks posed by Generative AI.
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